Senior Data Modeler — Enterprise Data & Analytics

VerityX Talent; Abu Dhabi; Vor Ort; AED 200.000 - 320.000; Vollzeit

Zusammenfassung

VerityX Talent is seeking an experienced Data Modeler in Abu Dhabi to design, develop and maintain enterprise data models supporting data warehousing, analytics and data governance initiatives.

The role translates business requirements into conceptual, logical and physical data models, ensuring data is structured, accurate and optimised for BI and technical needs. Collaboration with data architects, engineers and governance teams is essential.

Qualifikationen

• Bachelor's degree in CS/IT/Data Engineering/IS or related field.
• 6+ years in data modelling, database design, data warehousing or related data management roles.
• Proven hands-on experience developing data models.

Aufgaben

• Design, develop and maintain conceptual, logical and physical data models for enterprise data platforms.
• Develop dimensional data models (star/snowflake schemas) for data warehouses and reporting environments.
• Apply relational database design principles including normalization, keys, relationships and referential integrity.
• Design and maintain data models for data warehouses, data marts, data lakes and lakehouse environments.
• Translate business requirements into data entities, attributes, relationships and structures.
• Develop and maintain source-to-target mappings, transformation rules and data definitions for ETL/ELT processes.
• Establish and apply data modelling standards, naming conventions and data definitions.

Kenntnisse

Data Modelling

SQL

Data Warehousing

Data Governance

Ausbildung

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems or a related discipline

Jobbeschreibung

VerityX Talent is seeking an experienced Data Modeler in Abu Dhabi to design, develop and maintain enterprise data models supporting data warehousing, analytics and data governance initiatives.

The role translates business requirements into conceptual, logical and physical data models, ensuring data is structured, accurate and optimised for BI and technical needs. Collaboration with data architects, engineers and governance teams is essential.